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| Presentation | 2016-03-22 17:00 [Invited Talk] From associative memory model to sparse modeling and brain-like artificial intelligence Masato Okada (UTokyo)  NC2015-79 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this talk, I first introduce statistical-mechanical informatics. In my opinion, statistical-mechanical informatics has started from an important indication by Hopfield, that is, he pointed out the mathematical similarity between associative memory models and random spin systems. Statistical-mechanical informatics can treat not only neural network models such as associative memory models and perceptrons, but also various kinds of information processing systems, for example, error correcting code, machine learning, image restoration, CDMA and so on. One of fruitful application fields of statistical-mechanical informatics is sparse modeling. We consider sparse modeling as a key technology of data-driven science. I mention the basic concept of sparse modeling, and concretely explain that sparse modeling promotes extraction of latent structure in various kinds of observed data. We have become convinced that the three levels pointed out by David Marr give a novel insight into data-driven science, and proposed three levels of data-driven science. Finally, I would like to mention future direction of brain-like artificial intelligence based on the three levels of data-driven science. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Associative memory model / Sparse modeling / Data-driven science / Brain-like artificial Intelligence / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 514, NC2015-79, pp. 57-57, March 2016. | |
| Paper # | NC2015-79 | |
| Date of Issue | 2016-03-15 (NC) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NC2015-79 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2016-03-22 - 2016-03-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tamagawa University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2016-03-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | From associative memory model to sparse modeling and brain-like artificial intelligence |
| Sub Title (in English) | |
| Keyword(1) | Associative memory model |
| Keyword(2) | Sparse modeling |
| Keyword(3) | Data-driven science |
| Keyword(4) | Brain-like artificial Intelligence |
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| 1st Author's Name | Masato Okada |
| 1st Author's Affiliation | The University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2016-03-22 17:00:00 |
| Presentation Time | 50 minutes |
| Registration for | NC |
| Paper # | NC2015-79 |
| Volume (vol) | vol.115 |
| Number (no) | no.514 |
| Page | p.57 |
| #Pages | 1 |
| Date of Issue | 2016-03-15 (NC) |
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